A transmuted version of the generalized half-normal distribution
Abstract An extension of the generalized half-normal distribution, given by Cooray and Ananda [5], is proposed and studied. We use the quadratic rank transmutation map to generate a transmuted version of the generalized half-normal distribution. We study some probability properties, discuss maximum...
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Universidad Católica del Norte, Departamento de Matemáticas
2019
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oai:scielo:S0716-091720190003005672019-08-28A transmuted version of the generalized half-normal distributionSalinas,Hugo S.Iriarte,Yuri A.Astorga,Juan M. Generalized half-normal distribution Half-normal distribution Maximum likelihood Quadratic rank transmutation map Transmuted distribution Abstract An extension of the generalized half-normal distribution, given by Cooray and Ananda [5], is proposed and studied. We use the quadratic rank transmutation map to generate a transmuted version of the generalized half-normal distribution. We study some probability properties, discuss maximum likelihood estimation and present real data application indicating that the new distribution can improve the generalized half-normal distribution in fitting real data.info:eu-repo/semantics/openAccessUniversidad Católica del Norte, Departamento de MatemáticasProyecciones (Antofagasta) v.38 n.3 20192019-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172019000300567en10.22199/issn.0717-6279-2019-03-0036 |
institution |
Scielo Chile |
collection |
Scielo Chile |
language |
English |
topic |
Generalized half-normal distribution Half-normal distribution Maximum likelihood Quadratic rank transmutation map Transmuted distribution |
spellingShingle |
Generalized half-normal distribution Half-normal distribution Maximum likelihood Quadratic rank transmutation map Transmuted distribution Salinas,Hugo S. Iriarte,Yuri A. Astorga,Juan M. A transmuted version of the generalized half-normal distribution |
description |
Abstract An extension of the generalized half-normal distribution, given by Cooray and Ananda [5], is proposed and studied. We use the quadratic rank transmutation map to generate a transmuted version of the generalized half-normal distribution. We study some probability properties, discuss maximum likelihood estimation and present real data application indicating that the new distribution can improve the generalized half-normal distribution in fitting real data. |
author |
Salinas,Hugo S. Iriarte,Yuri A. Astorga,Juan M. |
author_facet |
Salinas,Hugo S. Iriarte,Yuri A. Astorga,Juan M. |
author_sort |
Salinas,Hugo S. |
title |
A transmuted version of the generalized half-normal distribution |
title_short |
A transmuted version of the generalized half-normal distribution |
title_full |
A transmuted version of the generalized half-normal distribution |
title_fullStr |
A transmuted version of the generalized half-normal distribution |
title_full_unstemmed |
A transmuted version of the generalized half-normal distribution |
title_sort |
transmuted version of the generalized half-normal distribution |
publisher |
Universidad Católica del Norte, Departamento de Matemáticas |
publishDate |
2019 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172019000300567 |
work_keys_str_mv |
AT salinashugos atransmutedversionofthegeneralizedhalfnormaldistribution AT iriarteyuria atransmutedversionofthegeneralizedhalfnormaldistribution AT astorgajuanm atransmutedversionofthegeneralizedhalfnormaldistribution AT salinashugos transmutedversionofthegeneralizedhalfnormaldistribution AT iriarteyuria transmutedversionofthegeneralizedhalfnormaldistribution AT astorgajuanm transmutedversionofthegeneralizedhalfnormaldistribution |
_version_ |
1718439853103775744 |